So - how to estimate ELO:
first you have to collect all games for each weight class.
for example Medium: 500 Wins, 400 Losses.
67% of the wins are a result of the MM (it determine that you may win) - the other 33% was a win against the odds.
Those 165 will result in 21-40 points of additional ELO (based on 50-250 ELO difference and its unlikely that you have won a match with 250 difference rather than luck)
So 165 games rise the ELO
Now the looses - same here 67% may the looses where you were supposed to loose because your side hat the lower ELO.
The other 33% you did loose although you should have won - will result in a loose of 21-40 - lets say 20 on the average.
132 games reduced the ELO
Now the value of rising and lowering ELO results in the differences between the teams. Russ stated that they had a different ELO of 50 in solo queue and up to 250 in group queue - but that means there are games that had much lower differences and bigger difference.
A win against a much better ELO team result in a major boost of ELO, while the loose vs a almost equal team will hardly change your ELO.
If you say that on the average the ELO difference was 50 - your ELO may have risen by 165-132 = 33 * 20 Points = 660.
So your ELO must be near 2000 - so you are in the upper part of the average - but you should already know that by the W/L ratio of 1.25 W/L ratio.
Thats one theory.
The other: even if you have a W/L of 0.5 doesn't mean you ELO is near the newbs and noobs. maybe you did loose only those games you were supposed to loose - and you beat great teams during you win - even when the MM placed you on the "looser" team.
Well - of course there are the "other" players. and that is the problem - if you think / know that your ELO can't be superb - and you see a group of "maybe" top players in the other team:
Two things may have happen: You have top players in your team too, the other players in the other team have a low ELO.
Edited by Karl Streiger, 25 November 2014 - 03:16 AM.